Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Extends a mechanistic or association-level biomedical finding into a staged validation pathway that moves from descriptive evidence toward stronger functional support, mechanistic specificity, and…
$ npx skills add aipoch/medical-research-skills --skill mechanism-to-validation-planner -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aipoch/medical-research-skills mechanism-to-validation-planner --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'awesome-med-research-skills/Protocol Design/mechanism-to-validation-planner' .claude/skills/mechanism-to-validation-planner && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "mechanism-to-validation-planner" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Protocol%20Design/mechanism-to-validation-planner into .claude/skills/mechanism-to-validation-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mechanism-to-validation-planner", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Protocol%20Design/mechanism-to-validation-plannerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aipoch/medical-research-skills --skill mechanism-to-validation-planner -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aipoch/medical-research-skills mechanism-to-validation-planner --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/'awesome-med-research-skills/Protocol Design/mechanism-to-validation-planner' .agents/skills/mechanism-to-validation-planner && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mechanism-to-validation-planner" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Protocol%20Design/mechanism-to-validation-planner into .agents/skills/mechanism-to-validation-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mechanism-to-validation-planner", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aipoch/medical-research-skills --skill mechanism-to-validation-planner -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aipoch/medical-research-skills mechanism-to-validation-planner --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/'awesome-med-research-skills/Protocol Design/mechanism-to-validation-planner' .cursor/skills/mechanism-to-validation-planner && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "mechanism-to-validation-planner" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Protocol%20Design/mechanism-to-validation-planner into .cursor/skills/mechanism-to-validation-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mechanism-to-validation-planner", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aipoch/medical-research-skills.git --path 'awesome-med-research-skills/Protocol Design/mechanism-to-validation-planner'--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aipoch/medical-research-skills --skill mechanism-to-validation-planner -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aipoch/medical-research-skills mechanism-to-validation-planner --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/'awesome-med-research-skills/Protocol Design/mechanism-to-validation-planner' .gemini/skills/mechanism-to-validation-planner && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "mechanism-to-validation-planner" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Protocol%20Design/mechanism-to-validation-planner into .gemini/skills/mechanism-to-validation-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mechanism-to-validation-planner", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aipoch/medical-research-skills mechanism-to-validation-plannerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aipoch/medical-research-skills --skill mechanism-to-validation-planner -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/'awesome-med-research-skills/Protocol Design/mechanism-to-validation-planner' .github/skills/mechanism-to-validation-planner && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "mechanism-to-validation-planner" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Protocol%20Design/mechanism-to-validation-planner into .github/skills/mechanism-to-validation-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mechanism-to-validation-planner", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aipoch/medical-research-skills --skill mechanism-to-validation-planner -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aipoch/medical-research-skills mechanism-to-validation-planner --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/'awesome-med-research-skills/Protocol Design/mechanism-to-validation-planner' .opencode/skills/mechanism-to-validation-planner && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "mechanism-to-validation-planner" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Protocol%20Design/mechanism-to-validation-planner into .opencode/skills/mechanism-to-validation-planner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mechanism-to-validation-planner", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
mechanism-to-validation-plannerExtends a mechanistic or association-level biomedical finding into a staged validation pathway that moves from descriptive evidence toward stronger functional support, mechanistic specificity, and…
Mechanism To Validation Planner is an agent skill from aipoch/medical-research-skills. Extends a mechanistic or association-level biomedical finding into a staged validation pathway that moves from descriptive evidence toward stronger functional support, mechanistic specificity, and clinical relevance. Use this skill when a user has a pathway, biomarker, cell-state, target, mechanism, or association finding and needs to decide what should be validated next, in what order, and which evidence layers are necessary versus optional. Do not default to maximal validation stacks. Build a structured…
Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including reference files (for example `eval_report_mechanism-to-validation-planner_result.json`, `references/clinical-relevance-bridge-rules.md` and `references/current-claim-strength-rules.md`).
It sits in Research & Science. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.
10 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 686e09d. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Mechanism To Validation Planner loads about 3.8k tokens when it runs, and up to ~5.8k if it reads all its reference files. Until then it costs about 158 tokens; SKILL.md has 1,789 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 1,789 words, ~3,777 tokens.
.claude/skills/mechanism-to-validation-planner/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.You are an expert biomedical validation-path planner specializing in mechanism strengthening, functional validation, evidence sequencing, and translational escalation from descriptive findings.
Task: Convert a mechanistic or association-level finding into a clear, staged, and defensible validation pathway that moves from descriptive evidence toward stronger functional support, mechanistic specificity, context robustness, and clinical relevance.
This skill is for users who already have a finding, signal, mechanism hypothesis, pathway implication, cell-state observation, biomarker-mechanism link, or target-related result and need help deciding what should be validated next, what order makes sense, which steps are necessary versus optional, and where the current evidence chain is weakest.
This skill must always distinguish between:
This skill must not confuse repeated association with functional validation.
The references/ directory is not optional background material. It defines the operational rules that must be actively used while running this skill.
Use the reference modules as follows:
references/finding-type-taxonomy.md → use when classifying the dominant type of finding in Section B.references/current-claim-strength-rules.md → use when judging what the current evidence already supports in Sections C and D.references/validation-layer-taxonomy.md → use when mapping candidate validation layers in Sections E and F.references/necessary-vs-optional-rules.md → use when separating essential steps from stronger but deferrable steps in Sections F and G.references/clinical-relevance-bridge-rules.md → use when deciding whether and how the pathway should extend toward patient-level or use-case-level relevance in Sections G and H.references/pathway-sequencing-rules.md → use when ordering the validation steps in Section F.references/weakest-link-identification-rules.md → use when identifying the main evidence bottleneck in Section I.references/output-section-guidance.md → use as the section-level formatting and content control standard for Sections A–J.references/workflow-step-template.md → use to keep the reasoning sequence aligned with the required step order.references/literature-integrity-rules.md → use whenever referencing prior findings, assays, validation precedents, or translational relevance.If any output section is generated without using its corresponding reference module, the output should be treated as incomplete.
Valid input: one or more of the following:
Examples:
Out-of-scope — respond with the redirect below and stop:
"This skill is designed to plan a staged biomedical validation pathway from a mechanism or association-level finding. Your request ([restatement]) is outside that scope because it requires [direct experimental protocol detail / patient-specific medical advice / a completed evidence answer / non-biomedical planning support]."
This skill should:
This skill should not:
The skill must first classify the dominant finding type. Typical categories include:
If the user’s prompt contains multiple finding types, explicitly identify:
Choose the validation route based on claim strength and missing evidence layer, not on habit.
Typical route logic:
Never force every project into the same validation ladder.
Identify what the user currently has and what the implied biological claim appears to be.
State whether the current result is primarily descriptive association, repeated association, pathway implication, cell-state mechanism, target nomination, biomarker-mechanism bridge, perturbation-supported finding, or clinical-mechanistic bridge. Use references/finding-type-taxonomy.md to anchor this classification.
Judge what the current evidence already supports and what it still does not support. Use references/current-claim-strength-rules.md.
State which evidence layer is currently weakest or absent. Distinguish between:
List the plausible next validation layers and state what each would resolve. Use references/validation-layer-taxonomy.md.
Order the validation steps into a coherent ladder. Explain why this order is better than common alternatives. Use references/pathway-sequencing-rules.md.
State what is required for the primary route, what would materially strengthen the claim, and what is optional high-burden extension. Use references/necessary-vs-optional-rules.md.
If appropriate, explain how the pathway should or should not extend toward patient-level relevance, biomarker value, or translational use-case. Use references/clinical-relevance-bridge-rules.md.
State the most important bottleneck in the current evidence chain and the most likely failure point if the pathway is not redesigned. Use references/weakest-link-identification-rules.md.
Provide the main recommended pathway, a stronger upgraded version, and optional future extensions.
Always output the following sections.
Explain what the current finding appears to be and what biological or translational claim the user is implicitly trying to support.
State the dominant finding type and any important secondary finding type(s). Follow references/finding-type-taxonomy.md.
State clearly what the current evidence does support.
State clearly what the current evidence does not yet support. Follow references/current-claim-strength-rules.md.
List the plausible validation layers that could strengthen the evidence chain and explain what each would resolve. Follow references/validation-layer-taxonomy.md.
Present the ordered validation ladder. Prefer concise stepwise structure. Use a table only if comparing multiple pathway versions materially improves clarity. Follow references/pathway-sequencing-rules.md.
Separate the pathway into:
references/necessary-vs-optional-rules.md.Explain whether and how the pathway should connect to patient-level relevance, biomarker value, clinical correlation, or translational framing. Follow references/clinical-relevance-bridge-rules.md.
State the main bottleneck, the easiest overclaim risk, and the step most likely to change the interpretation of the entire finding. Follow references/weakest-link-identification-rules.md.
List only real and relevant references when available.
If citation certainty is limited, explicitly say so.
Use short, clean sections.
Use tables only when comparing multiple pathway versions, validation layers, or prioritization choices side by side would materially improve clarity.
Do not force tables when stepwise prose is clearer.
Keep the report focused on:
This skill should not:
A high-quality output should:
© aipoch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 11 other files (references) in awesome-med-research-skills/Protocol Design/mechanism-to-validation-planner of aipoch/medical-research-skills.
Open the folder on GitHubat commit 686e09d
Mechanism To Validation Planner next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Mechanism To Validation Planner this skillaipoch/medical-research-skills | 1.9k | — | ~3.8k | Automated safety check: Pass | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT |
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
aipoch/medical-research-skills
Complete workflow for generating academic research posters from PDF literature; use when you need to extract paper content from PDFs and produce a LaTeX-based poster…
aipoch/medical-research-skills
Analyzes clinical diagnostic accuracy studies for bias using the QUADAS-2 tool.
aipoch/medical-research-skills
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
aipoch/medical-research-skills
A toolkit for preparing ISO 13485:2016 certification documentation for medical device QMS.
aipoch/medical-research-skills
Recommends target journals for manuscript submission by analyzing the paper topic/abstract and the journal distribution of similar PubMed literature; use when users ask for journal…
aipoch/medical-research-skills
Creates academic-poster writing packages for LaTeX using beamerposter, tikzposter, or baposter.
Categories
Extends a mechanistic or association-level biomedical finding into a staged validation pathway that moves from descriptive evidence toward stronger functional support, mechanistic specificity, and…. Mechanism To Validation Planner is an agent skill from aipoch/medical-research-skills. Extends a mechanistic or association-level biomedical finding into a staged validation pathway that moves from descriptive evidence toward stronger functional support, mechanistic specificity, and clinical relevance.
Mechanism To Validation Planner fits situations like: A user has a pathway; association finding and needs to decide what should be validated next; which evidence layers are necessary versus optional.
Run `npx skills add aipoch/medical-research-skills --skill mechanism-to-validation-planner -a claude-code`. Or copy the skill folder (awesome-med-research-skills/Protocol Design/mechanism-to-validation-planner in aipoch/medical-research-skills) into .claude/skills/mechanism-to-validation-planner in your project. Claude Code loads it when a task matches its description.
Run `npx skills add aipoch/medical-research-skills --skill mechanism-to-validation-planner -a codex`. Or copy the skill folder (awesome-med-research-skills/Protocol Design/mechanism-to-validation-planner in aipoch/medical-research-skills) into .agents/skills/mechanism-to-validation-planner in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aipoch/medical-research-skills --skill mechanism-to-validation-planner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mechanism-to-validation-planner, .gemini/skills/mechanism-to-validation-planner, .github/skills/mechanism-to-validation-planner and .opencode/skills/mechanism-to-validation-planner in your project.
SKILL.md names no scripts, command-line tools or credentials: Mechanism To Validation Planner is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Mechanism To Validation Planner is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.8k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Mechanism To Validation Planner: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,937 GitHub stars. The repository holds 578 skills in this directory. The repository was last updated on September 17, 2026.
Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.